added bibtex

README.md

@@ -1,5 +1,19 @@
 The following model is a Pytorch pre-trained model obtained from converting Tensorflow checkpoint found in the [official Google BERT repository](https://github.com/google-research/bert). These BERT variants were introduced in the paper [Well-Read Students Learn Better: On the Importance of Pre-training Compact Models](https://arxiv.org/abs/1908.08962). These models are supposed to be trained on a downstream task.
 
+If you use the model, please consider citing the paper
+```
+@misc{bhargava2021generalization,
+      title={Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics}, 
+      author={Prajjwal Bhargava and Aleksandr Drozd and Anna Rogers},
+      year={2021},
+      eprint={2110.01518},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
+Original Implementation and more info can be found in [this Github repository](https://github.com/prajjwal1/generalize_lm_nli).
+
+
 You can check out:
 - `prajjwal1/bert-tiny` (L=2, H=128)
 - `prajjwal1/bert-mini` (L=4, H=256)